Direction and priorities
Make explicit what matters and which criterion defines a good result, because greater execution capacity requires equally precise direction.
00Technology · AI · organization
Change does not happen when you decide it. It happens in the meanwhile.
I help businesses built on operations, relationships and service choose useful technology and bring it into everyday work.
01The practice
Between a decision and its effects lies all the work.
Meanwhile is Antonio Bonanno’s independent practice, where technology, organization and people become one working system.
A technology decision becomes useful when it has a direction and a place in the reality of the business.
Processes, tools and responsibilities realign through testing, building and adoption. Meanwhile works in this interval.
About me and why Meanwhile02Fields of work
Choosing the tool begins with reading the problem.
I read each situation through four perspectives that often overlap.
Systems and organization
Bring order to management software, CRM, platforms, spreadsheets and procedures by removing duplication, connecting data and adapting technology to the real work of the business.
AI and automation
Find activities where models can improve analysis, forecasting or execution and test them through prototypes, measures of usefulness and concrete results.
Experience and service
Look at the entire customer journey together with the operating system that makes it possible, so the experience promised outside is supported by the work happening inside.
03Contexts
Service depends on how the whole system works.
Across these contexts, people, information and tools have to stay coordinated while operations continue.
SMEs and professional firms
Organizations where the client relationship is part of the product and every new tool must account for real resources.
Restaurants and HoReCa
Independent businesses and multi-site operators working across service flows, reservations, reputation, data and back office.
Hotels and hospitality
Properties and groups working on guest experience, distribution and the integration of complex technology ecosystems.
04How I work
Understanding and action move together.
Each step produces information that guides the next and allows the plan to change while the work continues.
Read the context
People, processes, numbers and constraints reveal the full situation behind the stated problem.
Choose a direction
A few priorities, a shared criterion and a first working hypothesis clear enough to be tested.
Build and connect
Configure, integrate or prototype, using existing solutions when they are enough and building only what is needed.
Bring it into the work
Follow adoption, observe effects and change the plan when reality provides better information.
05From the Meanwhile
I write to bring what emerges from the work into focus.
Notes on AI, software, data and business that grow out of projects and help me read the next ones.
When understanding is no longer the hard part
In 2008, with TripShake, interpreting a question was human work. Today we hand that part to LLMs. If understanding becomes ambient, the scarce resource is the authority to set the direction, and the responsibility for that choice.
Read
Your software has an opinion about your business
Every management software embeds a model of how a business should work. Whoever adopts it receives that model along with the product, often without realising it. Today the constraint has shifted: it is no longer the availability of tools, but the clarity with which you can describe your own work.
Read
Quantum RFM: the customer as a state system
The limits of traditional RFM segmentation and an interpretive framework that treats the customer as a dynamic system, not a static object to be classified.
Read
Open source · self-hosted06Meanwhile Lab
Some ideas need to become software.
Copal began with a simple question: if thought is a flow, why should the memory we work with across LLMs start over every time?
It is an open-source project for preserving ideas, intentions and connections across different models and tools, with a direction that will emerge through use and from the people who contribute.
Enter the LabStart with the situation.
Tell me about a point of friction, an open decision or an idea to test. The first conversation clarifies the context and the possible next step.